The HJ-1 A and HJ-1 B satellites were launched on September 6, 2008 from China. The radiometric normalization of charge coupled device (CCD) images is still challenging work. In this paper, an automatic algorithm for relative radiometric normalization between HJ-1A/B CCD images and Landsat TM is presented. This method directly normalizes the digital numbers (DN) of HJ-1A/B CCD images, band by band, to surface reflectance. A united linear relationship between the DN of the target images and the surface reflectance of the referenced images was derived, and the applicable conditions are described here. The iteratively reweighted modification of the multivariate alteration detection (IR-MAD) transformation was used to automatically select pseudoinvariant features (PIFs). This procedure is simple, fast, and completely automatic. The algorithm was applied to normalize three subregions of different HJ-1A/B CCD images. The results show that the retrieval quality of the surface reflectance does meet the requirements of quantitative remote sensing.